Reflections Info Systems - Data Architect

Vista Info Systems; Kerala; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Vista Info Systems seeks an experienced Data Architect to lead enterprise data architectures, data lakes/lakehouses, and cloud analytics initiatives in Kerala, India.

You will guide governance, MDM, data quality, metadata management, and collaborate with CIOs/CTOs to shape transformation roadmaps and drive customer engagements.

Qualifications

• 15+ years of experience in data architecture and leadership.
• Hands-on leader with governance and architectural oversight.

Responsibilities

• Data Architecture Leadership: Define and drive overall data architecture strategy, standards, frameworks, and best practices across customer engagements.
• Design modern data platforms including data lakes, lakehouses, data warehouses, real-time data platforms, and cloud-native analytics ecosystems.
• Establish reference architectures, reusable frameworks, accelerators, and implementation methodologies.
• Lead architecture reviews and provide governance across strategic customer programs.
• Ensure architecture decisions align with business goals, scalability, security, and operations.
• Provide hands-on leadership and guidance for complex architecture decisions.
• Engage with CIOs/CTOs/CDOs and senior stakeholders to define roadmap and transformations.
• Support pre-sales, solutioning, and customer workshops with architectural input.

Skills

Enterprise Data Architecture

Data Engineering

Data Warehousing

Data Lakes & Lakehouse

Data Governance

MDM

Data Quality

Metadata Management

BI & Reporting

Advanced Analytics

Real-Time/Streaming

API Integration

Cloud Platforms

Data Security & Compliance

Tools

Azure Data Services

AWS

GCP

Databricks

Snowflake

Microsoft Fabric

Informatica

Job description

We are seeking an experienced and hands‑on leader to join us as Data Architect.

Experience :

15+ Years.

Location :

Expertise :

Strong Experience In

• Enterprise Data Architecture
• Data Engineering
• Data Warehousing
• Data Lakes and Lakehouse Architectures
• Data Governance
• Master Data Management (MDM)
• Data Quality Management
• Metadata Management
• Business Intelligence and Reporting
• Advanced Analytics
• Real-Time and Streaming Data Platforms
• API-Based Data Integration
• Cloud Data Platforms
• Data Security and Compliance

Experience With Leading Technology Platforms Such As

• Microsoft Azure Data Services
• Amazon Web Services (AWS)
• Google Cloud Platform (GCP)
• Databricks
• Snowflake
• Microsoft Fabric
• Informatica

Key Responsibilities

• Data Architecture Leadership :
• Define and drive the overall data architecture strategy, standards, frameworks, and best practices across customer engagements.
• Design modern data platforms including data lakes, lakehouses, data warehouses, real-time data platforms, and cloud‑native analytics ecosystems.
• Establish reference architectures, reusable frameworks, accelerators, and implementation methodologies.
• Lead architecture reviews and provide technical governance across strategic customer programs.
• Ensure architecture decisions align with business goals, scalability requirements, security standards, and operational objectives.
• Provide hands on leadership and guidance for complex architecture and technology decisions.
• Customer Engagement and Consulting :
• Serve as a trusted advisor to CIOs, CTOs, CDOs, and senior business stakeholders.
• Lead architecture assessments, discovery workshops, and transformation roadmap engagements.
• Provide strategic consulting on data modernization, cloud migration, analytics, governance, and enterprise data strategy.
• Build long‑term relationships with customers and support account growth initiatives.
• Participate in executive reviews and strategic customer discussions.
• Pre‑Sales and Solutioning :
• Support strategic pursuits, proposals, RFP responses, and customer presentations.
• Lead solution architecture discussions during business development cycles.
• Collaborate with sales and account management teams to develop differentiated solutions.
• Participate in customer workshops, technical presentations, and executive briefings.
• Provide effort estimates, delivery approaches, and solution recommendations for prospective engagements.
• Talent Leadership :
• Build, mentor, and develop a high‑performing team of data architects, data engineers, analytics specialists, and technical leaders.
• Establish competency frameworks, learning paths, and technical career progression models.
• Foster a culture of innovation, technical excellence, accountability, and continuous learning.
• Participate in leadership hiring and succession planning initiatives.
• Coach and mentor emerging technical leaders across the organization.